Data Analysis with R Programming

This course is part of Google Data Analytics Professional Certificate

Instructor: Google Career Certificates

What you'll learn

  •   Describe the R programming language and its programming environment.
  •   Explain the fundamental concepts associated with programming in R including functions, variables, data types, pipes, and vectors.
  •   Describe the options for generating visualizations in R.
  •   Demonstrate an understanding of the basic formatting in R Markdown to create structure and emphasize content.
  • Skills you'll gain

  •   Statistical Programming
  •   Ggplot2
  •   Exploratory Data Analysis
  •   Package and Software Management
  •   Data Visualization Software
  •   Data Analysis
  •   R Programming
  •   Data Manipulation
  •   Data Cleansing
  •   Data Structures
  •   Tidyverse (R Package)
  •   Rmarkdown
  •   Data Import/Export
  • There are 5 modules in this course

    Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. By the end of this course, learners will: - Examine the benefits of using the R programming language. - Discover how to use RStudio to apply R to your analysis. - Explore the fundamental concepts associated with programming in R. - Understand the contents and components of R packages including the Tidyverse package. - Gain an understanding of dataframes and their use in R. - Discover the options for generating visualizations in R. - Learn about R Markdown for documenting R programming.

    Programming using RStudio

    Working with data in R

    More about visualizations, aesthetics, and annotations

    Documentation and reports

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